Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Collaborative knowledge capture in ontologies
Proceedings of the 3rd international conference on Knowledge capture
Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites
Computational Linguistics
Making Learning Design Standards Work with an Ontology of Educational Theories
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
A Knowledge Acquisition System for Constraint-based Intelligent Tutoring Systems
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Domain-specific keyphrase extraction
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Identifying concept attributes using a classifier
DeepLA '05 Proceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition
Combining ITS and elearning technologies: opportunities and challenges
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Bridging the Gap between ITS and eLearning: Towards Learning Knowledge Objects
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
An Architecture for Combining Semantic Web Techniques with Intelligent Tutoring Systems
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Concept Map Mining: A Definition and a Framework for Its Evaluation
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
The Stanford typed dependencies representation
CrossParser '08 Coling 2008: Proceedings of the workshop on Cross-Framework and Cross-Domain Parser Evaluation
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In this paper, we present a (semi) automatic framework that aims to produce a domain concept map (DCM) from text and to derive a domain ontology from this concept map. This methodology targets particularly the educational field because of the need of such structures (Ontologies and CM) within the e-Learning and AIED communities to sustain the production of e-Learning resources tailored to learner's needs. This paper details the steps that transform textual resources (and particularly textual learning objects) into a domain concept map and explains how this abstract structure is transformed into a more formal domain ontology. The paper also shows how these structures make it possible to bridge the gap between e-learning standard learning objects and Intelligent Tutoring Systems.